Release v0.1.3

The version comes with an added functionality and minimalistic configuration file for logging which can be helpful in a production system, where print statements are redundant and can be a bottleneck. In addition, there were certain minor bug fixes and enhancements. Check detailed commit message v0.1.2...v0.1.3 for more information.

Release v0.1.2

Minor Bug Fixes:

• Moved jupyter notebooks under examples directory,
• Added README.md for utilities directory, TODO add featured submodules link.

v0.1.1

Stable boilerplate template to quickly start on a production-level ai/ml project that follows machine learning code lifecycle principles.

v0.1.0-beta

A template for quickly starting a machine learning, artificial intelligence or data science project. The repository contains all necessary files and structure that might be used in a project. This pre-release contains the following:

1. Seperate directory structure for safe keeping data and output from code files.
2. Notebooks directory can be used for storing Jupyter Notebooks.
3. Seperate src directory that contains agents, engine and models for configuring any reinforcement learning project. This directory (if not required) can be removed.
4. The static and utilities can be used to store additional files, while logs is an essential files for tracking code progress.